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Sensing technologies for precision specialty crop production

机译:精准特种作物生产的传感技术

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With the advances in electronic and information technologies, various sensing systems have been developed for specialty crop production around the world. Accurate information concerning the spatial variability within fields is very important for precision farming of specialty crops. However, this variability is affected by a variety of factors, including crop yield, soil properties and nutrients, crop nutrients, crop canopy volume and biomass, water content, and pest conditions (disease, weeds, and insects). These factors can be measured using diverse types of sensors and instruments such as field-based electronic sensors, spectroradiometers, machine vision, airborne multispectral and hyperspectral remote sensing, satellite imagery, thermal imaging, RFID, and machine olfaction system, among others. Sensing techniques for crop biomass detection, weed detection, soil properties and nutrients are most advanced and can provide the data required for site specific management. On the other hand, sensing techniques for diseases detection and characterization, as well as crop water status, are based on more complex interaction between plant and sensor, making them more difficult to implement in the field scale and more complex to interpret. This paper presents a review of these sensing technologies and discusses how they are used for precision agriculture and crop management, especially for specialty crops. Some of the challenges and considerations on the use of these sensors and technologies for specialty crop production are also discussed
机译:随着电子和信息技术的进步,已经开发了各种传感系统,用于世界各地的特种作物生产。有关田间空间变异性的准确信息对于特种作物的精确耕种非常重要。但是,这种可变性受多种因素影响,包括农作物产量,土壤特性和养分,农作物养分,农作物冠层体积和生物量,水分含量和病虫害状况(疾病,杂草和昆虫)。可以使用各种类型的传感器和仪器来测量这些因素,例如基于现场的电子传感器,光谱辐射仪,机器视觉,机载多光谱和高光谱遥感,卫星图像,热成像,RFID和机器嗅觉系统等。作物生物量检测,杂草检测,土壤特性和养分的传感技术是最先进的,可以提供特定地点管理所需的数据。另一方面,用于疾病检测和表征的传感技术以及作物水分状况,基于植物与传感器之间更复杂的交互作用,这使得它们在田间规模上更难以实施,并且解释起来也更加复杂。本文介绍了这些传感技术,并讨论了它们如何用于精确农业和作物管理,特别是特种作物。还讨论了使用这些传感器和技术进行特种作物生产的一些挑战和考虑因素

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